
<h1><span class="yiyi-st" id="yiyi-13">numpy.matrix.max</span></h1>
        <blockquote>
        <p>原文：<a href="https://docs.scipy.org/doc/numpy/reference/generated/numpy.matrix.max.html">https://docs.scipy.org/doc/numpy/reference/generated/numpy.matrix.max.html</a></p>
        <p>译者：<a href="https://github.com/wizardforcel">飞龙</a> <a href="http://usyiyi.cn/">UsyiyiCN</a></p>
        <p>校对：（虚位以待）</p>
        </blockquote>
    
<dl class="method">
<dt id="numpy.matrix.max"><span class="yiyi-st" id="yiyi-14"> <code class="descclassname">matrix.</code><code class="descname">max</code><span class="sig-paren">(</span><em>axis=None</em>, <em>out=None</em><span class="sig-paren">)</span><a class="reference external" href="http://github.com/numpy/numpy/blob/v1.11.3/numpy/matrixlib/defmatrix.py#L749-L782"><span class="viewcode-link">[source]</span></a></span></dt>
<dd><p><span class="yiyi-st" id="yiyi-15">沿轴返回最大值。</span></p>
<table class="docutils field-list" frame="void" rules="none">
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<tbody valign="top">
<tr class="field-odd field"><th class="field-name"><span class="yiyi-st" id="yiyi-16">参数：</span></th><td class="field-body"><span class="yiyi-st" id="yiyi-17"><strong>请参阅`amax`了解完整说明</strong></span></td>
</tr>
</tbody>
</table>
<div class="admonition seealso">
<p class="first admonition-title"><span class="yiyi-st" id="yiyi-18">也可以看看</span></p>
<p class="last"><span class="yiyi-st" id="yiyi-19"><a class="reference internal" href="numpy.amax.html#numpy.amax" title="numpy.amax"><code class="xref py py-obj docutils literal"><span class="pre">amax</span></code></a>，<a class="reference internal" href="numpy.ndarray.max.html#numpy.ndarray.max" title="numpy.ndarray.max"><code class="xref py py-obj docutils literal"><span class="pre">ndarray.max</span></code></a></span></p>
</div>
<p class="rubric"><span class="yiyi-st" id="yiyi-20">笔记</span></p>
<p><span class="yiyi-st" id="yiyi-21">这与<a class="reference internal" href="numpy.ndarray.max.html#numpy.ndarray.max" title="numpy.ndarray.max"><code class="xref py py-obj docutils literal"><span class="pre">ndarray.max</span></code></a>相同，但返回<a class="reference internal" href="numpy.matrix.html#numpy.matrix" title="numpy.matrix"><code class="xref py py-obj docutils literal"><span class="pre">matrix</span></code></a>对象，其中<a class="reference internal" href="numpy.ndarray.max.html#numpy.ndarray.max" title="numpy.ndarray.max"><code class="xref py py-obj docutils literal"><span class="pre">ndarray.max</span></code></a>将返回一个ndarray。</span></p>
<p class="rubric"><span class="yiyi-st" id="yiyi-22">例子</span></p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">x</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">matrix</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">12</span><span class="p">)</span><span class="o">.</span><span class="n">reshape</span><span class="p">((</span><span class="mi">3</span><span class="p">,</span><span class="mi">4</span><span class="p">)));</span> <span class="n">x</span>
<span class="go">matrix([[ 0,  1,  2,  3],</span>
<span class="go">        [ 4,  5,  6,  7],</span>
<span class="go">        [ 8,  9, 10, 11]])</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">x</span><span class="o">.</span><span class="n">max</span><span class="p">()</span>
<span class="go">11</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">x</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
<span class="go">matrix([[ 8,  9, 10, 11]])</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">x</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="mi">1</span><span class="p">)</span>
<span class="go">matrix([[ 3],</span>
<span class="go">        [ 7],</span>
<span class="go">        [11]])</span>
</pre></div>
</div>
</dd></dl>
